Okay, I've searched for full-time Data Engineer positions in Buffalo, NY, requiring at least 3 years of experience and proficiency in SQL, Python, and Power BI. I have found 27 relevant openings for you.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer & Architect role at Rupp Pfalzgraf LLC is fundamentally about transforming raw data into actionable insights that directly enhance strategic and operational outcomes within a law firm environment. This position demands a blend of technical fluency—in SQL, Python, Java, Power BI—and a strong understanding of data engineering principles such as ETL pipeline design, data integrity, and dashboard optimization. The candidate will tackle challenges related to building scalable, reliable data workflows and reporting tools tailored specifically for legal industry needs, including integrations with specialized software like Aderant. Success hinges on the ability to collaborate cross-functionally with IT, legal practice groups, and vendors to unify diverse data sources into accurate, user-friendly visualizations and reports that drive informed decision-making. Beyond technical skills, the role requires an analytical mindset to translate complex business requirements into technical solutions, as well as strong communication abilities to engage non-technical stakeholders. Autonomy is expected in troubleshooting data issues and guiding system optimizations, while strategic contributions include supporting AI model development and refining KPIs. Early success would likely be measured through improved dashboard accuracy and usability, more automated and stable data pipelines, and enhanced data-driven decision capacity firm-wide.

Company Analysis:

Rupp Pfalzgraf LLC is a well-established, full-service law firm distinguished by its entrepreneurial spirit and deep community roots in Western New York. As the 5th largest law firm in the region, it balances tradition with innovation, embracing technology as a force multiplier in a traditionally conservative industry. The firm values collaboration, agility, and compassion—highlighting a culture that respects both professional excellence and personal commitments. This culture suggests the Data Engineer & Architect will enter a supportive environment where teamwork and meaningful relationships are pivotal. Given the firm's broad legal practice areas and multi-office structure, this role will carry significant cross-departmental visibility and influence, interfacing with both leadership and operational teams. Strategically, the hire is crucial in scaling the firm’s data infrastructure to enhance performance metrics, streamline reporting, and support AI-driven initiatives, marking it as a growth-oriented and future-focused position. The absence of explicit benefits alongside the salary range points to a potentially pragmatic but stable workplace where self-motivation and adaptability will serve the candidate well. Overall, the company’s mission to deliver exceptional client value through collaborative problem solving strongly aligns with the data-driven problem-solving nature of this role.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to translate complex business requirements into a technical data solution. How did you ensure both technical feasibility and stakeholder satisfaction?
• Behavioral: Describe an experience where you had to troubleshoot a critical data pipeline failure. What was your approach, and what was the outcome?
• Behavioral: Give an example of how you collaborated across teams with different expertise levels to build a data product or report. What challenges did you face, and how did you overcome them?
• Behavioral: Share a time when you needed to communicate technical insights to non-technical stakeholders. How did you ensure clarity and impact?
• Technical: How would you design an optimized ETL pipeline to ensure data integrity and scalability for a law firm's operational reporting needs?
• Technical: Explain your approach to building and maintaining custom SQL reports in a legacy system like Aderant. How do you balance performance with accuracy?
• Technical: Power BI is a key tool in this role. Can you walk me through creating an interactive dashboard that highlights key performance metrics for legal staff?
• Technical: Describe your experience with integrating APIs to synchronize data across multiple platforms. What are the most critical considerations to ensure secure and reliable data flow?
• Situational: Imagine one of the firm’s attorney dashboards shows inconsistent data between various reports. How would you investigate and resolve the discrepancy?
• Situational: Suppose an AI model your data pipelines support starts producing inaccurate predictions. What data engineering aspects would you examine first?
• Situational: You're tasked with coordinating a large-scale data migration involving multiple vendors and internal teams. How would you manage communication and risk mitigation throughout the project?
• Company Fit: What interests you about applying your data engineering skills within the legal industry, and particularly at Rupp Pfalzgraf LLC?
• Company Fit: How do you see your technical expertise supporting a firm that values collaboration, community, and client-centric problem solving?
• Company Fit: Rupp Pfalzgraf emphasizes a balance between professional ambition and personal compassion. How do you align with this value in your work style?
• Questions to Ask: Can you describe how data-driven decision making currently influences firm strategy, and where you see this role having the biggest impact?
• Questions to Ask: What are the biggest challenges Rupp Pfalzgraf faces in its data infrastructure and reporting today?
• Questions to Ask: How does the firm support ongoing professional development and growth for its technical team members?